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screened without further cumbersome purification. These methods will allow the parallel synthesis and testing of ca. 100 compounds in a single operation, potentially taking less than a week to design
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that may play a role in future sustainable processes with higherresource and energy efficiency. We will develop ultrahigh throughput assays to screen metagenomic libraries for new catalysts for applications
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-phase chemistry coupled with solid-phase reaction clean up using tethered reagents that enable pure compounds to be screened without further purification. These methods will allow the parallel synthesis
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. Reporting to Peter Visscher. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics, econometrics or another relevant field
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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: There will be a shortlisting and interview process. RCUK eligibility: No Eligibility: Applicants should hold, or expect to obtain, a postgraduate degree in Computer Science, Artificial Intelligence, Data
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interview process. RCUK eligibility: No Eligibility: Essential criteria: First-class or upper second-class Honours degree (or equivalent) in social science related discipline. A Masters degree in social
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at Cranfield University within a supportive, cross-disciplinary environment spanning energy systems engineering, computational modelling, bioinformatics and food safety science. The studentship is funded by
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for cell line characterisation, including imaging, genome sequencing, proteomic analysis, and co-ordination of bioinformatics. In addition, you will be required to participate in supervising trainees in
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of application review and, where applicable, interview. Eligibility and application guidance can be found here: https://slt-cdt.sheffield.ac.uk/apply For an informal discussion about your application